25 AI Agent Examples by Industry and Department (2026)

AI agents are already doing everyday business work: researching leads, answering support questions, booking appointments, chasing invoices and keeping records tidy. Below are 25 examples grouped by department and industry, each with what the agent does, tools you could use and how hard it is to set up. Start with an easy one in the area where you lose the most hours.

Not sure what counts as an agent? Our guide to what an AI agent is has the short version: it decides its own steps and uses tools to finish a job. Every example below meets that bar.

Sales agents

Sales agents save the hours between "a lead arrived" and "a person replied".

HubSpot describes its prospecting agent, customer agent and data agent on its Breeze agents page. The lead research agent in row 1 is the one we build step by step in how to build an AI agent without coding.

Customer support agents

Support is where agents are most mature, because the questions repeat and the answers live in documents you already have.

Fin works with help desks such as Salesforce, HubSpot, Front and Gorgias, not only Intercom's own (Fin pricing). Before you pick a support agent, collect your 20 most common questions and check how many your help articles actually answer.

Marketing agents

Marketing agents work best on the research and reporting around your content, with a person keeping control of the voice.

Operations and admin agents

These are the quiet time savers. Nobody sees them, but they hand back hours every week.

Google lists meeting summaries and labeling high-priority emails among the automations you can describe to Workspace Studio in plain words. Invoice intake has its own walkthrough in how to automate invoices with AI.

Finance and HR agents

Industry examples

The same patterns show up in every industry. What changes is the data, the risk and the rules.

Shopify says Sidekick can take actions in your admin and is included with Shopify plans, with features and limits that vary by plan (Shopify Sidekick). For phone-based examples like rows 20 to 22, we compare ready-made services and build options in how to build an AI receptionist.

Realtors will find full workflows in AI for real estate agents, and Instagram's rules for automated messages are covered in Instagram DM automation.

What a few of these cost to start

Several examples cost little or nothing to try, because the agent ships inside a plan or a free tier:

The real cost is usually your setup and review time in the first month. Budget a few hours of checking for every agent that touches customers.

How to pick your first agent

Match your biggest headache to a starting point:

Then run a short pilot before you rely on it:

Not sure which task to pick? Give your week to an AI and let it shortlist candidates with you:

Here is a list of the tasks I do every week, with roughly how long each one takes: [YOUR TASK LIST].
My business: [WHAT YOU SELL AND TO WHOM]. Tools I already use: [YOUR APPS].
Pick the three tasks that would make the best first AI agent. Favor tasks that are frequent, follow clear rules and are easy for me to check.
For each one, describe what the agent would do, which of my tools it would connect to, where I should approve its work, and one risk to watch.

What to do next

Pick the department where you lose the most hours each week and choose one Easy example from it. Run the four-week pilot before you add a second agent, and write down the hours it saves so you know whether to expand. If you want a guided path through agents and automations for leads, email and social, the Autopilot course is in early access.